Description
Dynata QualityScore is an award-winning machine learning model designed to enhance the quality of survey data. By analyzing over 175 data points, it identifies fraudulent and inattentive respondents, removing them in real-time during the survey fielding process. This results in extremely high sample accuracy, providing clients with reliable data for their research needs.
The tool is particularly beneficial for researchers, brands, media agencies, and consultancies looking to optimize their survey processes. Clients have reported time savings of up to 85% due to the efficiency of Dynata QualityScore. It is part of Dynata's broader suite of solutions that leverage first-party data for insights, activation, and measurement.
Dynata QualityScore is integrated into the Dynata platform, which offers capabilities such as proposal management, live project dashboards, and real-time feasibility engines. Users can configure and launch projects with ease, applying audience balancing controls and utilizing reconciliation and invoicing tools.
The platform supports various methodologies, including brand tracking, creative testing, and public opinion polling, ensuring that users can field surveys with confidence using verified first-party data. Dynata's commitment to quality and execution focus is evident in their continuous improvement culture, aiming to surpass expectations in data and services.
Dynata QualityScore's Core Features
AI-driven fraud detection
Real-time respondent replacement
High sample accuracy
175+ data point analysis
Time savings up to 85%
Integration with Dynata platform
Supports various survey methodologies
First-party data utilization
How to use Dynata QualityScore?
Configure: Set up survey parameters
Use: Field surveys with real-time fraud detection
Optimize: Analyze results for high accuracy
Report: Generate insights from verified data
Dynata QualityScore's Use Cases
- Survey Fraud Detection
- Sample Accuracy Improvement
- Time Efficiency
- Data Quality Enhancement
- Audience Insights